Filtros : "Araújo, Aluízio Fausto Ribeiro" "IASTED/ACTA" Limpar

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  • Source: Proceedings. Conference titles: International Conference on Artificial Inteligence and Soft Computing. Unidade: EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      VIEIRA, Marcelo e ARAÚJO, Aluízio Fausto Ribeiro. Neural network system based on associative memory to perform trajetory generation and inverse kinematics. 1998, Anais.. Anaheim: IASTED/ACTA, 1998. . Acesso em: 29 set. 2024.
    • APA

      Vieira, M., & Araújo, A. F. R. (1998). Neural network system based on associative memory to perform trajetory generation and inverse kinematics. In Proceedings. Anaheim: IASTED/ACTA.
    • NLM

      Vieira M, Araújo AFR. Neural network system based on associative memory to perform trajetory generation and inverse kinematics. Proceedings. 1998 ;[citado 2024 set. 29 ]
    • Vancouver

      Vieira M, Araújo AFR. Neural network system based on associative memory to perform trajetory generation and inverse kinematics. Proceedings. 1998 ;[citado 2024 set. 29 ]
  • Source: Proceedings. Conference titles: International Conference Modelling and Simulation. Unidade: EESC

    Subjects: INTELIGÊNCIA ARTIFICIAL, ENGENHARIA ELÉTRICA

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    • ABNT

      VALENTE, Carlos M O et al. Grasping objects of arbitrary shape. 1998, Anais.. Anaheim: IASTED/ACTA, 1998. . Acesso em: 29 set. 2024.
    • APA

      Valente, C. M. O., Schammass, A., Caurin, G. A. P., & Araújo, A. F. R. (1998). Grasping objects of arbitrary shape. In Proceedings. Anaheim: IASTED/ACTA.
    • NLM

      Valente CMO, Schammass A, Caurin GAP, Araújo AFR. Grasping objects of arbitrary shape. Proceedings. 1998 ;[citado 2024 set. 29 ]
    • Vancouver

      Valente CMO, Schammass A, Caurin GAP, Araújo AFR. Grasping objects of arbitrary shape. Proceedings. 1998 ;[citado 2024 set. 29 ]
  • Source: Proceedings. Conference titles: International Conference on Artificial Inteligence and Soft Computing. Unidade: EESC

    Subjects: INTELIGÊNCIA ARTIFICIAL, ENGENHARIA ELÉTRICA

    Versão PublicadaHow to cite
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    • ABNT

      BARRETO, Guilherme de A e ARAÚJO, Aluízio Fausto Ribeiro. Improving the perforce of differential competitive learning model in clustering tasks. 1998, Anais.. Anaheim: IASTED/ACTA, 1998. Disponível em: https://repositorio.usp.br/directbitstream/fe959e1e-e286-4c89-a13a-41d8c34c5501/prod_000661_sysno_991764%20%281%29.pdf. Acesso em: 29 set. 2024.
    • APA

      Barreto, G. de A., & Araújo, A. F. R. (1998). Improving the perforce of differential competitive learning model in clustering tasks. In Proceedings. Anaheim: IASTED/ACTA. Recuperado de https://repositorio.usp.br/directbitstream/fe959e1e-e286-4c89-a13a-41d8c34c5501/prod_000661_sysno_991764%20%281%29.pdf
    • NLM

      Barreto G de A, Araújo AFR. Improving the perforce of differential competitive learning model in clustering tasks [Internet]. Proceedings. 1998 ;[citado 2024 set. 29 ] Available from: https://repositorio.usp.br/directbitstream/fe959e1e-e286-4c89-a13a-41d8c34c5501/prod_000661_sysno_991764%20%281%29.pdf
    • Vancouver

      Barreto G de A, Araújo AFR. Improving the perforce of differential competitive learning model in clustering tasks [Internet]. Proceedings. 1998 ;[citado 2024 set. 29 ] Available from: https://repositorio.usp.br/directbitstream/fe959e1e-e286-4c89-a13a-41d8c34c5501/prod_000661_sysno_991764%20%281%29.pdf
  • Source: Proceedings. Conference titles: International Conference on Artificial Inteligence and Soft Computing. Unidade: EESC

    Subjects: INTELIGÊNCIA ARTIFICIAL, ENGENHARIA ELÉTRICA

    PrivadoHow to cite
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    • ABNT

      BARRETO, Guilherme de A e ARAÚJO, Aluízio Fausto Ribeiro e ROSA, Marcelo de O. A reactive rule-based system for trajectory planning of a mobile robot with few sensory resources. 1998, Anais.. Anaheim: IASTED/ACTA, 1998. Disponível em: https://repositorio.usp.br/directbitstream/35e93b45-2eaa-4f13-8a95-9795993de5e2/prod_000665_sysno_0991741.pdf. Acesso em: 29 set. 2024.
    • APA

      Barreto, G. de A., Araújo, A. F. R., & Rosa, M. de O. (1998). A reactive rule-based system for trajectory planning of a mobile robot with few sensory resources. In Proceedings. Anaheim: IASTED/ACTA. Recuperado de https://repositorio.usp.br/directbitstream/35e93b45-2eaa-4f13-8a95-9795993de5e2/prod_000665_sysno_0991741.pdf
    • NLM

      Barreto G de A, Araújo AFR, Rosa M de O. A reactive rule-based system for trajectory planning of a mobile robot with few sensory resources [Internet]. Proceedings. 1998 ;[citado 2024 set. 29 ] Available from: https://repositorio.usp.br/directbitstream/35e93b45-2eaa-4f13-8a95-9795993de5e2/prod_000665_sysno_0991741.pdf
    • Vancouver

      Barreto G de A, Araújo AFR, Rosa M de O. A reactive rule-based system for trajectory planning of a mobile robot with few sensory resources [Internet]. Proceedings. 1998 ;[citado 2024 set. 29 ] Available from: https://repositorio.usp.br/directbitstream/35e93b45-2eaa-4f13-8a95-9795993de5e2/prod_000665_sysno_0991741.pdf
  • Source: Proceedings. Conference titles: International Conference on Artificial Inteligence and Soft Computing. Unidade: EESC

    Subjects: INTELIGÊNCIA ARTIFICIAL, ENGENHARIA ELÉTRICA

    PrivadoHow to cite
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    • ABNT

      ARAÚJO, Aluízio Fausto Ribeiro e BRAGA, Arthur P S. Reinforcement learning based on potential field methods to navigate in initially unknown environments. 1998, Anais.. Anaheim: IASTED/ACTA, 1998. Disponível em: https://repositorio.usp.br/directbitstream/b1dbfb29-04e8-40e9-a318-d00cc1126bc1/prod_0000454_sysno_991748.pdf. Acesso em: 29 set. 2024.
    • APA

      Araújo, A. F. R., & Braga, A. P. S. (1998). Reinforcement learning based on potential field methods to navigate in initially unknown environments. In Proceedings. Anaheim: IASTED/ACTA. Recuperado de https://repositorio.usp.br/directbitstream/b1dbfb29-04e8-40e9-a318-d00cc1126bc1/prod_0000454_sysno_991748.pdf
    • NLM

      Araújo AFR, Braga APS. Reinforcement learning based on potential field methods to navigate in initially unknown environments [Internet]. Proceedings. 1998 ;[citado 2024 set. 29 ] Available from: https://repositorio.usp.br/directbitstream/b1dbfb29-04e8-40e9-a318-d00cc1126bc1/prod_0000454_sysno_991748.pdf
    • Vancouver

      Araújo AFR, Braga APS. Reinforcement learning based on potential field methods to navigate in initially unknown environments [Internet]. Proceedings. 1998 ;[citado 2024 set. 29 ] Available from: https://repositorio.usp.br/directbitstream/b1dbfb29-04e8-40e9-a318-d00cc1126bc1/prod_0000454_sysno_991748.pdf

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